Toward Speech Separation in The Pre-Cocktail Party Problem with TasTas
Audio and Speech Processing
2023-06-26 v4 Sound
Abstract
In this note, we propose to use TasTas \cite{shi2020speech} for the end-to-end approach to monaural speech separation in the pre-cocktail party problem. Our experiments on the public WSJ0-5mix data corpus results in 10.41dB SDR improvement. If online voice data remixing augmentation \cite{zeghidour2020wavesplit} is adopted in training, an 11.14dB SDR improvement can be achieved. We have open-sourced our re-implementation of the DPRNN-TasNet in https://github.com/ShiZiqiang/dual-path-RNNs-DPRNNs-based-speech-separation, and our TasTas is realized based on this implementation of DPRNN-TasNet, it is believed that the results in this paper can be reproduced with ease.
Keywords
Cite
@article{arxiv.2009.03692,
title = {Toward Speech Separation in The Pre-Cocktail Party Problem with TasTas},
author = {Ziqiang Shi and Jiqing Han},
journal= {arXiv preprint arXiv:2009.03692},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1902.04891